Triple

T15561
Position Surface form Disambiguated ID Type / Status
Subject Harvard Yard E310 entity
Predicate contains P35 FINISHED
Object Lionel Hall
Lionel Hall is an undergraduate dormitory building located within Harvard University's historic Harvard Yard.
 E1591 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lionel Hall | Statement: [Harvard Yard, contains, Lionel Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lionel Hall
Context triple: [Harvard Yard, contains, Lionel Hall]
  • A. Harold Hazen
    Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
  • B. John V. L. Hogan
    John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
  • C. Howard Potter
    Howard Potter was a 19th-century American businessman and philanthropist who played a key role in the cultural life of New York City.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lionel Hall
Triple: [Harvard Yard, contains, Lionel Hall]
Generated description
Lionel Hall is an undergraduate dormitory building located within Harvard University's historic Harvard Yard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lionel Hall
Target entity description: Lionel Hall is an undergraduate dormitory building located within Harvard University's historic Harvard Yard.
  • A. Harold Hazen
    Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
  • B. John V. L. Hogan
    John V. L. Hogan was an American radio engineer and pioneer in early radio technology and broadcasting.
  • C. Howard Potter
    Howard Potter was a 19th-century American businessman and philanthropist who played a key role in the cultural life of New York City.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Harold A. Wheeler
    Harold A. Wheeler was an influential American electrical engineer and inventor known for his pioneering contributions to radio and radar technology.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2400257208190b3cd87ad2a06c18f completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248e572f08190b52158e063a066bf completed Feb. 28, 2026, 1:46 a.m.
NEDg Description generation batch_69a2497d04248190a0a9037f79a932ef completed Feb. 28, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69a249dbe1108190a2a844ba4e570fea completed Feb. 28, 2026, 1:50 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.